{"id":22553,"date":"2025-11-24T13:39:59","date_gmt":"2025-11-24T09:39:59","guid":{"rendered":"https:\/\/krisp.ai\/blog\/?p=22553"},"modified":"2025-12-02T16:39:05","modified_gmt":"2025-12-02T12:39:05","slug":"small-voice-isolation-model","status":"publish","type":"post","link":"https:\/\/krisp.ai\/blog\/small-voice-isolation-model\/","title":{"rendered":"Introducing 3.5x smaller Voice Isolation model with exceptional accuracy"},"content":{"rendered":"<h2><strong>Overview<\/strong><\/h2>\n<p>We are excited to announce the release of a new lightweight Voice Isolation model (<code>krisp-viva-tel-lite-v1<\/code>), the result of continuous innovation from the research team at Krisp. The model is available in <a href=\"https:\/\/krisp.ai\/blog\/krisp-launches-viva-sdk-and-surpasses-1b-minutes-of-voice-ai-processing-per-month-milestone\/\">Krisp&#8217;s VIVA SDK<\/a>.<\/p>\n<p>&nbsp;<\/p>\n<p>It\u2019s designed to improve turn-taking for Voice AI Agents in challenging environments with background noise and other distractions, while running efficiently on CPUs.<\/p>\n<p>&nbsp;<\/p>\n<p>Compared to its predecessor, <code>krisp-bvc-o-lite-v2<\/code>, it delivers significantly better background noise and secondary voice suppression, adds support for inbound telephony use cases, and does so within the same CPU footprint.<\/p>\n<p>&nbsp;<\/p>\n<p>Despite being 3.5x smaller, it delivers comparable performance to larger models in Krisp&#8217;s industry-leading Voice Isolation models for most use-cases at a much lower CPU computational cost. For example, it\u2019s a viable alternative to <code>krisp-viva-tel-v1<\/code> in Krisp VIVA SDK, the default choice for world-class Voice Isolation in Conversational AI use-cases.<\/p>\n<p>&nbsp;<\/p>\n<p>In the following sections, we benchmarked the <code>krisp-viva-tel-lite-v1<\/code> model against various models from the Krisp family of Noise cancellation and Voice Isolation models:<\/p>\n<ul>\n<li><code>krisp-bvc-o-lite-v2<\/code> &#8211; its predecessor, the lightweight Voice Isolation model for microphone audio streams.<\/li>\n<li><code>krisp-bvc-o-v2<\/code> &#8211; standard Voice Isolation model for microphone audio streams.<\/li>\n<li><code>krisp-viva-tel-v1<\/code> &#8211; industry-leading, bi-directional, Voice Isolation model designed for Conversational AI use-cases, such as Voice bots.<\/li>\n<\/ul>\n<hr \/>\n<p>&nbsp;<\/p>\n<h2><strong>Operational Details<\/strong><\/h2>\n<p>The <code>krisp-viva-tel-lite-1<\/code> model includes the following capabilities:<\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li>Performs background voice and noise cancellation with the primary speaker detected by speaker-to-microphone proximity cues<\/li>\n<li>Processes audio at 16 kHz bandwidth<\/li>\n<li>Achieves 15 ms algorithmic latency<\/li>\n<li>Same size as its predecessor, but also supports inbound voice isolation<\/li>\n<li>Supports narrow-band audio streams, including telephony and inbound call scenarios<\/li>\n<li>Compatible with a wide range of codecs such as <strong>G729, G711, G722, OPUS<\/strong>, and others<\/li>\n<li>Maintains acceptable performance on Bluetooth devices, including AirPods and AirPods Max, even with the microphone positioned away from the speaker\u2019s mouth<\/li>\n<\/ul>\n<hr \/>\n<h2><strong>POLQA Evaluation Setup<\/strong><\/h2>\n<p>POLQA\u2014a gold-standard objective metric for perceived audio quality\u2014was used to evaluate model performance across realistic conditions.<\/p>\n<p>&nbsp;<\/p>\n<p>The English dataset contains 72 audio files mixed with different types of noises with a 10dB SNR. For covering phone-call recordings and inbound scenarios, new versions of the same dataset were created &#8211; Narrowband, and G729AnnexBA, G711, OPUS covering telephony-type use cases and codec induced degradations.<\/p>\n<p>&nbsp;<\/p>\n<p>In the baseline wideband scenario for microphone-side voice isolation, <code>krisp-viva-tel-lite-1<\/code> performs on par with the ~2x larger <code>krisp-bvc-o-v2<\/code>, demonstrating that its reduced size does not come at the cost of perceptual quality.<\/p>\n<p>&nbsp;<\/p>\n<p>Across all evaluated datasets, it also consistently outperforms its predecessor <code>krisp-bvc-o-lite-v2<\/code>, showing clear improvements in clarity, noise handling, and overall robustness. Most notably, the new model exhibits significantly stronger performance in narrow-band and codec-degraded conditions\u2014areas that are especially critical for inbound telephony use cases. Even when the input audio is heavily constrained by codec artifacts or low bandwidth, the model maintains stable and reliable output quality, making it well-suited for real-world telephony environments.<\/p>\n<p>&nbsp;<\/p>\n<p>These results translate directly into measurable gains across both outbound and inbound scenarios.<\/p>\n<ul>\n<li>Outbound audio processing: <code>krisp-viva-tel-lite-1<\/code> shows 2% improvement over <code>krisp-bvc-o-lite-v2<\/code> while remaining comparable to <code>krisp-bvc-o-v2<\/code>.<\/li>\n<li>Inbound audio processing: the improvements are more visible. The model achieves 5% POLQA improvement over <code>krisp-bvc-o-lite-v2<\/code> and 8% over <code>krisp-bvc-o-v2<\/code>, aligning with the observed robustness under narrow-band and codec-stressed conditions.<\/li>\n<\/ul>\n<p><!-- notionvc: d63bf1e5-e3f4-4327-a8c2-7a7d78b64643 --><\/p>\n<p><img loading=\"lazy\" class=\"alignnone size-full wp-image-22622\" src=\"https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/chart_1.png\" alt=\"\" width=\"1916\" height=\"1188\" srcset=\"https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/chart_1.png 1916w, https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/chart_1-300x186.png 300w, https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/chart_1-380x236.png 380w, https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/chart_1-768x476.png 768w, https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/chart_1-1536x952.png 1536w, https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/chart_1-600x372.png 600w\" sizes=\"(max-width: 1916px) 100vw, 1916px\" \/><\/p>\n<p>&nbsp;<\/p>\n<hr \/>\n<p>Attaching examples of challenging scenarios where the <code>krisp-viva-tel-lite-v1<\/code> outperforms it\u2019s predecessor model.<\/p>\n<table style=\"border-collapse: collapse; width: 100%;\">\n<tbody>\n<tr>\n<td style=\"width: 33.3333%;\"><\/td>\n<td style=\"width: 33.3333%; text-align: center;\"><strong>Original<\/strong><\/td>\n<td style=\"width: 33.3333%; text-align: center;\"><strong>krisp-viva-tel-lite-v1<\/strong><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 33.3333%;\"><strong>Suppression<\/strong><br \/>\nNarrow-band, landline<\/td>\n<td style=\"width: 33.3333%;\"><!--[if lt IE 9]><script>document.createElement('audio');<\/script><![endif]--><br \/>\n<audio class=\"wp-audio-shortcode\" id=\"audio-22553-1\" preload=\"none\" style=\"width: 100%;\" controls=\"controls\"><source type=\"audio\/wav\" src=\"https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/busy-city-street-ambience_ex1.wav?_=1\" \/><a href=\"https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/busy-city-street-ambience_ex1.wav\">https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/busy-city-street-ambience_ex1.wav<\/a><\/audio><\/td>\n<td style=\"width: 33.3333%;\"><audio class=\"wp-audio-shortcode\" id=\"audio-22553-2\" preload=\"none\" style=\"width: 100%;\" controls=\"controls\"><source type=\"audio\/wav\" src=\"https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/busy-city-street-ambience_ex1_result.wav?_=2\" \/><a href=\"https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/busy-city-street-ambience_ex1_result.wav\">https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/busy-city-street-ambience_ex1_result.wav<\/a><\/audio><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 33.3333%;\"><strong>Leakage<\/strong><br \/>\nBluetooth AirPod<\/td>\n<td style=\"width: 33.3333%;\"><audio class=\"wp-audio-shortcode\" id=\"audio-22553-3\" preload=\"none\" style=\"width: 100%;\" controls=\"controls\"><source type=\"audio\/wav\" src=\"https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/Ex2-1.wav?_=3\" \/><a href=\"https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/Ex2-1.wav\">https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/Ex2-1.wav<\/a><\/audio><\/td>\n<td style=\"width: 33.3333%;\"><audio class=\"wp-audio-shortcode\" id=\"audio-22553-4\" preload=\"none\" style=\"width: 100%;\" controls=\"controls\"><source type=\"audio\/wav\" src=\"https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/Ex2_krisp-viva-tel-lite-1.wav?_=4\" \/><a href=\"https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/Ex2_krisp-viva-tel-lite-1.wav\">https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/Ex2_krisp-viva-tel-lite-1.wav<\/a><\/audio><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 33.3333%;\"><strong>Distorted bandwidth<\/strong><br \/>\nUSB headset<\/td>\n<td style=\"width: 33.3333%;\"><audio class=\"wp-audio-shortcode\" id=\"audio-22553-5\" preload=\"none\" style=\"width: 100%;\" controls=\"controls\"><source type=\"audio\/wav\" src=\"https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/Ex3-1.wav?_=5\" \/><a href=\"https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/Ex3-1.wav\">https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/Ex3-1.wav<\/a><\/audio><\/td>\n<td style=\"width: 33.3333%;\"><audio class=\"wp-audio-shortcode\" id=\"audio-22553-6\" preload=\"none\" style=\"width: 100%;\" controls=\"controls\"><source type=\"audio\/wav\" src=\"https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/Ex3_krisp-viva-tel-lite-1.wav?_=6\" \/><a href=\"https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/Ex3_krisp-viva-tel-lite-1.wav\">https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/Ex3_krisp-viva-tel-lite-1.wav<\/a><\/audio><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr \/>\n<p>&nbsp;<\/p>\n<h2><strong>Integration into the Krisp VIVA Package<\/strong><\/h2>\n<p>The model, widely regarded as the best Voice Isolation model for Conversational AI use cases, remains the highest-quality option for difficult inbound scenarios.<\/p>\n<p>&nbsp;<\/p>\n<p>Despite its small size <code>krisp-viva-tel-lite-v1<\/code> delivers strong quality, performing at a level remarkably close to ~3.5x larger <code>krisp-viva-tel-v1<\/code>, industry\u2019s default choice for Voice Isolation model for Voice Bots. The larger model continues to lead in situations involving extreme noise or severely degraded bandwidth, but in most inbound audio scenarios, the new smaller model behaves similarly and produces comparable results. These distinctions are also reflected in the <strong>POLQA<\/strong> metrics.<\/p>\n<p><img loading=\"lazy\" class=\"alignnone size-full wp-image-22623\" src=\"https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/chart_2.png\" alt=\"\" width=\"1642\" height=\"1018\" srcset=\"https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/chart_2.png 1642w, https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/chart_2-300x186.png 300w, https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/chart_2-380x236.png 380w, https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/chart_2-768x476.png 768w, https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/chart_2-1536x952.png 1536w, https:\/\/krisp.ai\/blog\/wp-content\/uploads\/2025\/11\/chart_2-600x372.png 600w\" sizes=\"(max-width: 1642px) 100vw, 1642px\" \/><\/p>\n<p>Given its high performance and lower CPU usage, it is a viable alternative to the <code>krisp-viva-tel-v1<\/code> model for massive server-side deployments to provide clean audio to Voice bots, where CPU is at a premium, and a great choice for running Voice Isolation models on edge devices, in mobile applications, and in environments with strict hardware constraints.<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/docs.google.com\/spreadsheets\/d\/1-xSgrMwwOowHIvyhweKLbsPPCYOfBUb6DCYvoLEslmw\/edit?gid=0#gid=0\">Reference files<\/a><\/p>\n<p><!-- notionvc: 2d334ab3-f04d-4c25-b219-4f5a1632a7e0 --><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Overview We are excited to announce the release of a new lightweight Voice Isolation model (krisp-viva-tel-lite-v1), the result of continuous innovation from the research team at Krisp. The model is available in Krisp&#8217;s VIVA SDK. &nbsp; It\u2019s designed to improve turn-taking for Voice AI Agents in challenging environments with background noise and other distractions, while [&hellip;]<\/p>\n","protected":false},"author":71,"featured_media":22565,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"two_page_speed":[]},"categories":[417,421,413,456],"tags":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.2 (Yoast SEO v23.6) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Introducing 3.5x smaller Voice Isolation model with exceptional accuracy - Krisp<\/title>\n<meta name=\"description\" content=\"Meet krisp-viva-tel-lite-v1: a 3.5x smaller Voice Isolation model with superior noise suppression, telephony support, and low-latency performance for Voice AI.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/krisp.ai\/blog\/small-voice-isolation-model\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Introducing 3.5x smaller Voice Isolation model with exceptional accuracy - 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